{"id":"W4407267192","doi":"","title":"L'intégration de l'intelligence artificielle dans les marchés publics au Québec : enjeux, défis et opportunités","year":2024,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; INT; Computer science; Philosophy; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006899102,0.0006512828,0.0005824238,0.002389468,0.007492336,0.0175646,0.001923994,0.002488058,0.008189742],"category_scores_gemma":[0.01572381,0.0004827487,0.0005491967,0.004167934,0.00939737,0.004992748,0.003959431,0.002899724,0.0005815435],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07219326,"about_ca_system_score_gemma":0.06540915,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9652412,"about_ca_topic_score_gemma":0.9603216,"domain_scores_codex":[0.9936526,0.002780225,0.0002022787,0.0005631878,0.001909914,0.0008917493],"domain_scores_gemma":[0.9889175,0.004710198,0.0008737874,0.0009837742,0.003490604,0.001024289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002549076,0.0002662202,0.1121321,0.00059708,0.0002444132,0.001093165,0.09324552,0.03282189,0.002103623,0.4655383,0.03255495,0.2591479],"study_design_scores_gemma":[0.00006914254,0.0001951061,0.1888324,0.001629165,0.0002111424,0.0003985002,0.1175194,0.08296008,0.002304551,0.0707674,0.5348169,0.0002962727],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5467596,0.004225103,0.03291592,0.1080999,0.0002999684,0.0002458608,0.0007459221,0.0003702883,0.3063374],"genre_scores_gemma":[0.9726458,0.0006938286,0.005917025,0.0005818835,0.00003764107,0.00004581291,0.0001023717,0.00003725381,0.01993834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9278067,"threshold_uncertainty_score":0.5238012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05147646449520431,"score_gpt":0.3041749772625525,"score_spread":0.2526985127673482,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}